2016
DOI: 10.2174/1874149501610010695
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A BIM-Based Preliminary Database Framework for Structural Hazard Prevention Analysis

Abstract: Building Information Modeling (BIM) is a methodology for managing the essential data and information in digital format throughout a building life cycle. During the building operation process, engineers can establish a detailed information database of structural components for structural hazard prevention analysis based on the BIM model. In this paper, the definitions and rules of geometrical and non-geometrical information of structural components are studied, which play an important part in preventing a build… Show more

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Cited by 3 publications
(1 citation statement)
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“…Xia (2020) proposed a BIM-based monitoring system with high deformation displacement monitoring accuracy and structural safety, which could effectively evaluate the reliability of bridge buildings [16]. Liu and Zhang (2016) combined BIM technology with the current intelligent building management system platform; the development of this system helped to analyze building structural hazards, effectively obtain critical data and information for construction, and prevent the occurrence of dangerous accidents [17]. Ismail et al (2018) proposed that BIM could effectively help builders to build more reliable building measurement data, which would significantly reduce the total cost of the project [18].…”
Section: Plos Onementioning
confidence: 99%
“…Xia (2020) proposed a BIM-based monitoring system with high deformation displacement monitoring accuracy and structural safety, which could effectively evaluate the reliability of bridge buildings [16]. Liu and Zhang (2016) combined BIM technology with the current intelligent building management system platform; the development of this system helped to analyze building structural hazards, effectively obtain critical data and information for construction, and prevent the occurrence of dangerous accidents [17]. Ismail et al (2018) proposed that BIM could effectively help builders to build more reliable building measurement data, which would significantly reduce the total cost of the project [18].…”
Section: Plos Onementioning
confidence: 99%